smmargins.transforms.Logit

smmargins.transforms.Logit = Transform(name='logit')

Analytic transformation of the linear predictor.

Parameters:

• value (callable) – value(eta) returns the transformed scale, element-wise.

• grad (callable) – grad(eta) returns the first derivative λ'(eta), element-wise.

• hess (callable, optional) – hess(eta) returns the second derivative λ''(eta), element-wise. Required for dydx calls; optional for predict calls.

• name (str, optional) – Human-readable name, used in result labels.

Notes

Custom transforms used in Margins.dydx must supply an analytic hess. Autodiff is deliberately not supported — users who want it can wrap their own Transform with jax.grad etc.